Context Semantic Preprocessing for Indexing in Information Retrieval Systems
|Author(s)||Thinn Lai Soe, Kay Khaing Win|
|Issue Date||August, 2014|
|Publishing Date||August, 2014|
|Keywords||indexing, clustering, semantic and context, IR system|
Information retrieval (IR) is concerned with representing, searching, and manipulating large collections of electronic text and other human-language data. IR systems and services are now widespread, with millions of people depending on them daily to facilitate business, education, and entertainment. For these increasing amounts of information, we need efficient and effective index structure when we have to find needed information from the web. Therefore, indexing is one of the main parts of Information Retrieval system. IR system cannot well work without an accurate and efficient index. The role of semantic is the most important part of IR system because of the advance of intelligence system. Preprocessing step is also important part of indexing in IR system. This paper produces context semantic preprocessing using the concept of context ontology to provide indexing of IR system. This system can efficiently index the clusters with the aid of semantic and context preprocessing.